Paper Citation Record · LEDGER

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2501.10639.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.10639 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:08:01.799775Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T15:26:23.290009Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T15:27:20.106151Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy21
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0dddf4d-c200-4382-af12-531fb113d44c · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.566687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5189c3aa-57f5-4e1d-ad00-3031b6a7f22f · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Refusal in Language Models Is Mediated by a Single Direction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.571828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9888649f-64a0-4d39-860d-ab2b2a2291d8 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.578805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b189b13d-7f8c-41dd-9fd9-c0b334bbead5 · outbound

This paper cites , author Ghosh, S.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Ghosh, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.565008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c67ebe50-2a32-408a-8f48-c3504b14a518 · outbound

This paper cites , author Ye, H.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Ye, H

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.551904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7cf5986-6253-44bc-b21d-cd996d3ce9f1 · outbound

This paper cites Defending Against Unforeseen Failure Modes with Latent Adversarial Training.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Defending Against Unforeseen Failure Modes with Latent Adversarial Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.593502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ac95ef-8939-4c86-9984-a03b39db9a6f · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.599083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d04c9aa-2ef6-4740-8ab8-0f33ee4c147d · outbound

This paper cites , author Robey, A.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Robey, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.538492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c530ab1e-d492-41e7-8627-266a1c0dfe3b · outbound

This paper cites OR-Bench: An Over-Refusal Benchmark for Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks OR-Bench: An Over-Refusal Benchmark for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.608940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd124da8-9e9e-4263-b6e3-6b983ac61d1a · outbound

This paper cites , author Ruoss, A.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Ruoss, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.524902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdfe378a-b3be-4cf4-9931-f706dc698eb1 · outbound

This paper cites , author Chen, Y.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Chen, Y

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.511111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97378996-f677-4d99-ad7e-a4440b3760e1 · outbound

This paper cites MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.623284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94febe71-c2b2-4e3a-8d95-b055e2ad8e64 · outbound

This paper cites PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.628010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdc1a55-96d3-4e61-bdcd-9bfbe6f56725 · outbound

This paper cites , author Yu, F.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Yu, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.496311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d403bd6-9448-4d89-8a6a-d07e32812eae · outbound

This paper cites , author Burns, C.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Burns, C

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.482280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe449179-5845-4b2c-821b-386d09820afe · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Inspecting and Editing Knowledge Representations in Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.641136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c367882-5566-4d4f-baab-1155ff1a9ef4 · outbound

This paper cites Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Improved Techniques for Optimization-Based Jailbreaking on Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.645564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e218e1-6d2d-4e11-b27d-620525c5b7c6 · outbound

This paper cites , author Choi, E.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Choi, E

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.467635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d697efc6-c479-4a4c-b0ff-2a0700cfffb6 · outbound

This paper cites , author Li, X.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Li, X

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.454451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5e4a53d-703d-4811-b94d-203576856598 · outbound

This paper cites , author G \"u rel, N.M.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author G \"u rel, N.M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.441977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2e3eaa3-3127-4a17-9a5e-66867126df9b · outbound

This paper cites , author Al-Rfou, R.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Al-Rfou, R

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.426978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6be3978e-c578-4853-b6b2-d25fb739904e · outbound

This paper cites Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.666387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee780b3c-0826-449c-ab4c-ea88790560ba · outbound

This paper cites AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.671246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8214eded-d1f5-4045-a1ef-9b3c8ccda58b · outbound

This paper cites Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.675859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8081f179-da4f-4f01-9f50-a433654c7da6 · outbound

This paper cites , author Xu, N.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Xu, N

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.413897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1595a31-3a4c-489e-9d57-1e06d74e2ae0 · outbound

This paper cites , author Feng, Z.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Feng, Z

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.400845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63b0eb18-1d74-4ad7-8018-a6f9b920b10e · outbound

This paper cites , author Phan, L.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Phan, L

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.387649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e20dac0-cba0-46c5-872f-f3e9580ec8f9 · outbound

This paper cites Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.696363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8102a52-8326-4d43-a705-e939f9ecd07a · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Steering Llama 2 via Contrastive Activation Addition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.701320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6607a1e4-649e-4bdf-9212-e6e75f0cdb88 · outbound

This paper cites , author Wong, E.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Wong, E

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.374326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04604d75-cde7-4c1e-a00b-1aff869832e0 · outbound

This paper cites Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.711503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b769401-6465-427b-8405-f0c8a8162dec · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.716089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0417e44-1297-491b-ab59-55f0d9698a60 · outbound

This paper cites Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.720455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181e5b86-7bd9-43df-8c52-5359bc7c1512 · outbound

This paper cites , author Chen, K.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Chen, K

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.359315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca1e0899-d08a-4dda-983b-41757f54af9f · outbound

This paper cites Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.728950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049bbf7f-8aca-4712-b114-6937e92cb423 · outbound

This paper cites , author Haghtalab, N.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Haghtalab, N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.343484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19cf3e0d-9de7-48fe-b988-f87b47517819 · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.737120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9163df2c-75da-4783-9748-385de29a21c1 · outbound

This paper cites , author Yi, J.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Yi, J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.328209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24072a27-516c-470f-9abc-3e840554bcff · outbound

This paper cites , author Huang, R.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Huang, R

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.312988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c14d0ef-7e00-433e-b8f6-874c769a2d98 · outbound

This paper cites Uncovering Safety Risks of Large Language Models through Concept Activation Vector.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.749591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b290920e-109b-4cc1-83dc-4f29b1d9f7a4 · outbound

This paper cites , author Ye, R.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Ye, R

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.298063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5d3cf62-d8ef-4013-b15c-4e685fa11192 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.758667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fee971d-24aa-41bf-8321-ddf3da8abf56 · outbound

This paper cites Robust LLM safeguarding via refusal feature adversarial training.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Robust LLM safeguarding via refusal feature adversarial training

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.764576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76712e0-a05a-4230-92d8-9c76d534f4a9 · outbound

This paper cites AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.769602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e3f891-9a1d-4105-ba86-3c0a9a86e5eb · outbound

This paper cites Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.773900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4469a48d-a05d-45a0-a860-e2e544ac5b45 · outbound

This paper cites On Prompt-Driven Safeguarding for Large Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks On Prompt-Driven Safeguarding for Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.778736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38181aea-7c25-495f-89aa-4591513365cf · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Representation Engineering: A Top-Down Approach to AI Transparency

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.783546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c68195-138c-429a-ad67-aac2c22e6de5 · outbound

This paper cites , author Phan, L.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks , author Phan, L

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:08:02.282597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d93d1b8-eeda-45b8-a0b4-ecfec518d5c7 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.795490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259f26f1-f9ba-4b42-b94c-8491424e6f70 · outbound

This paper cites write newline.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks write newline

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.799775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ee1a0b98-dd8a-45a9-b9d0-7bf12bcd306d · inbound

Efficient Safety Alignment of Language Models via Latent Personality Traits cites this paper.

Efficient Safety Alignment of Language Models via Latent Personality Traits Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:27:20.107446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.